Natural language processing (NLP) pertains to the branch of artificial intelligence that enables computers to understand, process, interpret, and generate text and spoken words of the human language.
Human language is highly complex, irregular, and diverse. Dialects, accents, homophones, syntax, grammatical rules, abbreviations, misspellings, and slang are some aspects that make it challenging to create a program that understands the underlying meaning of text or voice data.
NLP works by using computational linguistics, the rule-based modeling of human language, and combines it with statistical, machine learning, and deep learning models. It breaks down raw language data into shorter elements through several NLP tasks to help computers process and understand the input.
Some of the underlying tasks are as follows:
There are countless practical applications for natural language processing. Below are a few examples:
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